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A chaotic model for tight diabetes control
Author(s) -
Holt T. A.
Publication year - 2002
Publication title -
diabetic medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.474
H-Index - 145
eISSN - 1464-5491
pISSN - 0742-3071
DOI - 10.1046/j.1464-5491.2002.00662.x
Subject(s) - medicine , chaotic , control (management) , diabetes mellitus , chaos (operating system) , diabetes control , chaos theory , intensive care medicine , risk analysis (engineering) , artificial intelligence , endocrinology , computer science , computer security , type 2 diabetes
The principles of non‐linear dynamics (‘chaos’) theory may improve our understanding of the difficulties of blood glucose control in diabetes, may lead to alternative control strategies in selected individuals, and might even enlighten the issues involved in automated glucose control for the future. Possible experimental and mathematical methods of identifying chaotic behaviour in glucose profiles are briefly discussed. Advice based on this model is suggested for those aiming at tight blood glucose control.